WO2021092889A1 - Procédé et dispositif de criblage de vitesse d'écoulement à base d'image angiographique, système et support de stockage - Google Patents

Procédé et dispositif de criblage de vitesse d'écoulement à base d'image angiographique, système et support de stockage Download PDF

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WO2021092889A1
WO2021092889A1 PCT/CN2019/118749 CN2019118749W WO2021092889A1 WO 2021092889 A1 WO2021092889 A1 WO 2021092889A1 CN 2019118749 W CN2019118749 W CN 2019118749W WO 2021092889 A1 WO2021092889 A1 WO 2021092889A1
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image
flow velocity
blood flow
contrast
body position
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PCT/CN2019/118749
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Chinese (zh)
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徐磊
王之元
冯亮
李泽华
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苏州润迈德医疗科技有限公司
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular
    • G06T2207/30104—Vascular flow; Blood flow; Perfusion

Definitions

  • the present invention relates to the technical field of coronary artery medicine, in particular to a screening method, device, system and computer storage medium based on the flow rate of an angiographic image.
  • cardiovascular disease has become the "number one killer" of human health.
  • hemodynamics to analyze the physiology and pathological behavior of cardiovascular diseases has also become a very important means for the diagnosis of cardiovascular diseases.
  • the coronary artery analysis system needs to synthesize a blood vessel model through three-dimensional modeling, the three-dimensional blood vessel model can clearly show the stenosis position of the vascular disease, which has a more intuitive effect.
  • 3D blood vessel model synthesis it is necessary to take contrast images from at least two positions, and then synthesize blood vessels from the contrast images of the two positions through three-dimensional modeling. Since the contrast images of each body position will produce a blood flow velocity, In the determination of coronary artery vascular evaluation parameters, it is not known which blood flow velocity to use for calculation. If one is randomly selected, it will cause the problem of inaccurate measurement of coronary artery vascular evaluation parameters.
  • the present invention provides a screening method, device, system and storage medium based on the flow velocity of an angiographic image to solve the problem of multiple blood flow velocities in a three-dimensional blood vessel model, and it is not known which blood flow velocity to select to calculate coronary artery vascular evaluation parameters .
  • the present application provides a method for screening blood flow velocity based on contrast images, including:
  • the blood flow velocity corresponding to the contrast image of the body position is selected.
  • the above-mentioned screening method based on the blood flow velocity of the contrast image further includes:
  • the contrast images of all body positions are non-expanded contrast images, or the two-dimensional contrast images of at least two body positions belong to the expanded contrast images, the number of frames per second and the number of transmission frames per second of each group of the two-dimensional contrast images are obtained respectively.
  • the threshold of the number of radiographic frames in a heartbeat cycle is obtained
  • the blood flow velocity of the body position is filtered
  • the blood flow velocity corresponding to the two-dimensional contrast image of the body position is selected.
  • the frame number threshold is adjusted, and the blood flow velocity corresponding to the two-dimensional contrast image of the body position with the smallest difference is selected;
  • the blood flow velocity corresponding to the two-dimensional angiographic image of a certain body position is artificially determined and selected.
  • the screening method based on the blood flow velocity of the angiographic image, if the total number of image frames in two or more body positions is greater than or equal to the frame number threshold, then all are selected, and all selected The blood flow velocity corresponding to the two-dimensional contrast image of the body position is averaged, and the average value is used as the blood flow velocity obtained by screening.
  • the frame number threshold is Among them, N y represents the frame number threshold, R represents the heart rate, and fps represents the number of frames transmitted per second.
  • the fps 1/30-1/15.
  • the method for acquiring blood flow velocity includes:
  • the blood flow velocity is obtained according to the length of the center line, the total number of image frames, and the number of frames transmitted per second.
  • the blood flow velocity is calculated by the following formula:
  • N represents the total number of frames of the image
  • v represents the blood flow velocity
  • the present application provides a screening device based on the blood flow velocity of the contrast image, which is used in the above-mentioned screening method based on the blood flow velocity of the contrast image, and includes: an image reading unit connected in sequence, a first body position Image screening unit and blood flow velocity acquisition unit;
  • the image reading unit is used to obtain two-dimensional contrast image groups of at least two body positions;
  • the first body position image screening unit is used for judging whether to select the contrast image of a certain body position according to whether the contrast image of a certain body position belongs to the expanded state contrast image;
  • the blood flow velocity acquisition unit is used to calculate the corresponding blood flow velocity according to the contrast image of the selected body position.
  • the above-mentioned screening device based on the blood flow velocity of the contrast image further includes: a second body image screening unit connected to the first body image screening unit and the image reading unit, and the second body image screening unit connected to the first body image screening unit and the image reading unit.
  • Heart rate acquisition unit and setting unit connected to the two-posture image screening unit;
  • the heart rate acquisition unit is used to acquire the heart rate of the patient
  • the setting unit is used to set the number of frames transmitted per second of the picture
  • the second body position image screening unit is internally provided with a comparison module, a filtering module and a saving module, and the filtering module and the saving module are all connected to the comparison module;
  • the comparison module is used to determine whether to start the comparison according to the screening result of the first body position image screening unit. If the first body position image screening unit determines that all the contrast images of the body positions belong to the non-expanded contrast images, or there are at least two If the two-dimensional angiographic image of the individual position belongs to the angiographic image in the expanded state, the comparison module is started, and the comparison module separately obtains the number of transmitted frames per second and the total number of image frames of each group of the two-dimensional angiographic image, and obtains according to the heart rate
  • the heart rate of the patient sent by the unit and the number of frames transmitted per second of the picture sent by the setting unit acquires the threshold of the number of radiographic frames in a heartbeat cycle; the total number of images contained in each group of two-dimensional radiographic images is acquired by the image reading unit
  • the number of frames if the total number of image frames of a two-dimensional contrast image group of a certain body position is less than the frame number threshold, the contrast image group of the body position is
  • the second body position image filtering unit further includes: a frame number difference module connected to the filtering module and the saving module ;
  • the frame number difference module is used to determine whether to start according to the image storage conditions inside the filtering module and the storage module, if the total number of frames of images with two or more body positions appearing in the storage module is greater than Or equal to the frame number threshold, the total number of frames of the image and the frame number threshold are made difference, and the blood flow velocity corresponding to the two-dimensional contrast image of the body position with the smallest difference is selected; and/or if the filtering module
  • the two-dimensional coronary angiography images of all positions are stored, that is, the total number of image frames of all the positions is less than the frame number threshold, and the blood flow velocity corresponding to which group of two-dimensional coronary angiography images is selected is artificially determined.
  • the present application provides a coronary artery analysis system, including: the above-mentioned device for the average blood flow at the coronary artery exit in the cardiac cycle.
  • the present application provides a computer storage medium, and when the computer program is executed by a processor, the above-mentioned method for screening blood flow velocity based on contrast images is implemented.
  • This application provides a screening method based on the blood flow velocity of an angiographic image, by obtaining a two-dimensional angiographic image group of at least two positions; if the angiographic image of a certain position belongs to the expanded angiographic image, the angiographic image of the position is selected Corresponding blood flow velocity.
  • This is because in the prior art, when measuring coronary artery vascular assessment parameters, for example, FFR, the pressure at the distal end of the stenosis is measured through the guide wire in the expanded state. Therefore, this application selects the corresponding angiographic image in the expanded state
  • the blood flow speed, the obtained blood vessel evaluation parameters are more accurate and scientific.
  • FIG. 1 is a flowchart of an embodiment of a method for screening blood flow velocity based on contrast images of the present application
  • FIG. 2 is a flowchart of another embodiment of a method for screening blood flow velocity based on contrast images of the present application
  • FIG. 3 is a flowchart of S500 of the application.
  • FIG. 4 is a structural block diagram of an embodiment of the screening device based on the blood flow velocity of the contrast image of the present application
  • FIG. 5 is a structural block diagram of another embodiment of the screening device based on the blood flow velocity of the contrast image of the present application
  • Image reading unit 100 First body position image filtering unit 200, blood flow velocity acquisition unit 300, second body position image filtering unit 400, comparison module 410, filtering module 420, saving module 430, frame number difference module 440, heart rate
  • the acquiring unit 500 the setting unit 600.
  • the coronary artery analysis system needs to synthesize a blood vessel model through three-dimensional modeling, the three-dimensional blood vessel model can clearly show the stenosis position of the vascular disease, which has a more intuitive effect.
  • 3D blood vessel model synthesis it is necessary to take contrast images from at least two positions, and then synthesize blood vessels from the contrast images of the two positions through three-dimensional modeling. Since the contrast images of each body position will produce a blood flow velocity, In the determination of coronary artery vascular evaluation parameters, it is not known which blood flow velocity to use for calculation. If one is randomly selected, it will cause the problem of inaccurate measurement of coronary vascular evaluation parameters.
  • this application provides a method for screening blood flow velocity based on contrast images, which includes:
  • This application provides a screening method based on the blood flow velocity of the angiographic image, by acquiring at least two two-dimensional angiographic image groups; if the angiographic image of a certain position belongs to the expanded angiographic image, select the one corresponding to the angiographic image of the body position
  • the blood flow velocity is because in the prior art, when measuring coronary vascular evaluation parameters, such as FFR, the pressure at the distal end of the stenosis is measured by the guide wire in the expanded state. Therefore, this application selects the blood corresponding to the angiographic image in the expanded state.
  • the flow rate and the obtained blood vessel evaluation parameters are more accurate and scientific.
  • N y represents the frame number threshold
  • R represents the heart rate
  • This application compares the total number of image frames N with the frame number threshold N y , filters out images with N ⁇ N y that is half a heartbeat cycle, and saves images with N ⁇ N y that is a full heartbeat cycle, and the acquired blood flow velocity more precise.
  • S500 further includes:
  • the image group with the smallest difference is further selected, which reduces the calculation time and improves the calculation efficiency.
  • Methods of obtaining blood flow velocity include:
  • the blood flow velocity is obtained.
  • the blood flow velocity adopts the contrast medium transport time algorithm, which is calculated by the following formula:
  • N represents the total number of frames of the image
  • v represents the blood flow velocity
  • the method for measuring v further includes: a contrast agent traversal distance algorithm, a Stewart-Hamilton algorithm, a first-pass distribution analysis method, an optical flow method, or a fluid continuity method.
  • the present application provides a blood flow velocity screening device based on contrast images, including: an image reading unit 100, a first body position image screening unit 200, and a blood flow velocity acquisition unit 300 connected in sequence;
  • the image reading unit 100 is used to obtain two-dimensional contrast image groups of at least two body positions;
  • the first body position image screening unit 200 is used to determine whether to select a certain body position according to whether the contrast image of a certain body position is an expanded one
  • the blood flow velocity acquisition unit 300 is used to calculate the corresponding blood flow velocity v according to the contrast image of the selected body position; preferably, the blood flow velocity v adopts the contrast agent transport time algorithm, which is calculated by the following formula: Among them, N represents the total number of frames of the image, and v represents the blood flow velocity.
  • an embodiment of the present application further includes: a second body image screening unit 400 connected to the first body image screening unit 200 and the image reading unit 100, and the second body image screening unit 400 Connected to the heart rate acquisition unit 500 and the setting unit 600; the heart rate acquisition unit 500 is used to acquire the heart rate of the patient, which can be measured by a non-invasive blood pressure meter, etc.; the setting unit 600 is used to set the number of frames transmitted per second; the second body position image filtering unit A comparison module 410, a filtering module 420, and a saving module 430 are provided inside the 400.
  • the filtering module 420 and the saving module 430 are all connected to the comparison module 410; the comparison module 410 is used to determine whether to start the comparison according to the screening result of the first body image screening unit 200 If the first body position image screening unit 200 determines that all the contrast images of the body positions belong to the non-expanded contrast images, or the two-dimensional contrast images of at least two body positions belong to the expanded contrast images, the comparison module 410 is activated.
  • the 410 Obtain the number of frames per second transmitted in each group of two-dimensional radiography images and the total number of frames per second N, according to the heart rate of the patient sent by the heart rate acquisition unit 500 and the number of frames per second sent by the setting unit 600 to obtain a heartbeat Threshold of the number of imaging frames in the cycle; the total number of image frames N contained in each group of two-dimensional imaging images is obtained by the image reading unit 100, if the total number of image frames N of the two-dimensional imaging group of a certain body position is less than the frame number threshold N y , the contrast image group of the body position is filtered and then enters the filtering module 420; if the total number of image frames N of the two-dimensional contrast image group of a certain body position is greater than or equal to the frame number threshold N y , the contrast image group of the body position is selected Enter the saving module 430.
  • the second body position image filtering unit 400 further includes: a frame number difference module 440 connected to the filtering module 420 and the saving module 430; the frame number difference module 440 is used to The image saving status inside the filtering module 420 and the saving module 430 determines whether to start.
  • the total image frame Make the difference between the number N and the frame number threshold N y , select the blood flow velocity v corresponding to the two-dimensional angiographic image of the position with the smallest difference, and perform the filtering and saving operations on the saving module 430 and the filtering module 420 again; and/or if filtering
  • the module 420 stores the coronary two-dimensional angiography images of all positions, that is, the total number of image frames N of all the positions is less than the frame number threshold N y , then the blood flow velocity v corresponding to which group of two-dimensional coronary angiography images is selected is artificially determined .
  • the present application provides a coronary artery analysis system, including: the above-mentioned device for the average blood flow at the coronary artery exit in the cardiac cycle.
  • the present application provides a computer storage medium, and when the computer program is executed by a processor, the above-mentioned method for screening the blood flow rate based on the contrast image is realized.
  • aspects of the present invention can be implemented as a system, a method, or a computer program product. Therefore, various aspects of the present invention can be specifically implemented in the following forms, namely: complete hardware implementation, complete software implementation (including firmware, resident software, microcode, etc.), or a combination of hardware and software implementations, Here can be collectively referred to as "circuit", "module” or "system”.
  • various aspects of the present invention may also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code.
  • the implementation of the method and/or system of the embodiments of the present invention may involve performing or completing selected tasks manually, automatically, or in a combination thereof.
  • a data processor such as a computing platform for executing a plurality of instructions.
  • the data processor includes a volatile memory for storing instructions and/or data and/or a non-volatile memory for storing instructions and/or data, for example, a magnetic hard disk and/or a Move the media.
  • a network connection is also provided.
  • a display and/or user input device such as a keyboard or mouse, is also provided.
  • the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium.
  • the computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or a combination of any of the above. More specific examples (non-exhaustive list) of computer-readable storage media would include the following:
  • the computer-readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or in combination with an instruction execution system, apparatus, or device.
  • the computer-readable signal medium may include a data signal propagated in baseband or as a part of a carrier wave, and computer-readable program code is carried therein. This propagated data signal can take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • the computer-readable signal medium may also be any computer-readable medium other than the computer-readable storage medium.
  • the computer-readable medium may send, propagate, or transmit the program for use by or in combination with the instruction execution system, apparatus, or device .
  • the program code contained on the computer-readable medium can be transmitted by any suitable medium, including (but not limited to) wireless, wired, optical cable, RF, etc., or any suitable combination of the above.
  • any combination of one or more programming languages can be used to write computer program codes for performing operations for various aspects of the present invention, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional process programming languages, such as "C" programming language or similar programming language.
  • the program code can be executed entirely on the user's computer, partly on the user's computer, executed as an independent software package, partly on the user's computer and partly executed on a remote computer, or entirely executed on the remote computer or server.
  • the remote computer can be connected to the user's computer through any kind of network-including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, using an Internet service provider to pass Internet connection).
  • LAN local area network
  • WAN wide area network
  • each block of the flowchart and/or block diagram and the combination of each block in the flowchart and/or block diagram can be implemented by computer program instructions.
  • These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, or other programmable data processing devices, thereby producing a machine that makes these computer program instructions when executed by the processors of the computer or other programmable data processing devices , A device that implements the functions/actions specified in one or more blocks in the flowcharts and/or block diagrams is produced.
  • These computer program instructions can also be stored in a computer-readable medium. These instructions make computers, other programmable data processing devices, or other devices work in a specific manner, so that the instructions stored in the computer-readable medium generate An article of manufacture that implements instructions for the functions/actions specified in one or more blocks in the flowchart and/or block diagram.
  • Computer program instructions can also be loaded onto a computer (for example, a coronary artery analysis system) or other programmable data processing equipment to cause a series of operation steps to be executed on the computer, other programmable data processing equipment or other equipment to produce a computer-implemented process , Causing instructions executed on a computer, other programmable device or other equipment to provide a process for implementing the functions/actions specified in the flowchart and/or one or more block diagrams.
  • a computer for example, a coronary artery analysis system
  • other programmable data processing equipment or other equipment to produce a computer-implemented process
  • Causing instructions executed on a computer, other programmable device or other equipment to provide a process for implementing the functions/actions specified in the flowchart and/or one or more block diagrams.

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Abstract

Procédé et dispositif de criblage de vitesse d'écoulement à base d'image angiographique, système et support de stockage informatique. Le procédé de criblage de vitesse d'écoulement sanguin à base d'image angiographique consiste : à acquérir un groupe d'images angiographiques bidimensionnelles d'au moins deux positions corporelles (100) ; et si une image angiographique d'une certaine position corporelle est une image angiographique dans un état étendu, à sélectionner une vitesse d'écoulement sanguin correspondant à l'image angiographique de ladite position corporelle (200). Dans ledit procédé, un groupe d'images angiographiques bidimensionnelles d'au moins deux positions corporelles est acquis, et si une image angiographique d'une certaine position corporelle est une image angiographique dans un état étendu, une vitesse d'écoulement sanguin correspondant à l'imagerie angiographique de ladite position corporelle est sélectionnée, en raison du fait que lors de la mesure de paramètres d'évaluation vasculaire de l'artère coronaire tels que la FFR dans l'état de la technique, la pression distale par rapport au rétrécissement est mesurée au moyen d'un fil-guide dans un état étendu, et par conséquent la sélection d'une vitesse d'écoulement sanguin correspondant à l'image angiographique dans un état étendu peut obtenir des paramètres d'évaluation vasculaire plus précis et scientifiques.
PCT/CN2019/118749 2019-11-11 2019-11-15 Procédé et dispositif de criblage de vitesse d'écoulement à base d'image angiographique, système et support de stockage WO2021092889A1 (fr)

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CN113450329A (zh) * 2021-06-29 2021-09-28 广州医软智能科技有限公司 一种微循环图像血管分支红细胞流速计算方法及系统

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